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---
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
language:
- en
tags:
- flux
- diffusers
- lora
- replicate
base_model: "black-forest-labs/FLUX.1-dev"
pipeline_tag: text-to-image
# widget:
# - text: >-
# prompt
# output:
# url: https://...
instance_prompt: sweet
---
# Flux1.Lora.Sweetdream
Prompt: sweet colorful cake with sprinkels and candy. A hyper-realistic portrait of a woman sitting on a chair. She looks into the camera with an almost invisible subliminal smile
<!-- <Gallery /> -->
With thanks to [⚡straico.com⚡](https://huggingface.co/Straico) for supporting my work. You can support me to by using [this affiliate link](https://platform.straico.com/signup?fpr=roelf14) when subscribing to ⚡Straico⚡
You can find my blog pages at [https://roelfrenkema.github.io](https://roelfrenkema.github.io) and if you want to send me a coffee push the button. [](https://ko-fi.com/Q5Q8124DNL)
## Trigger words
You should use `sweet` to trigger the image generation.
## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
```py
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('roelfrenkema/flux1.lora.sweetdream', weight_name='lora.safetensors')
image = pipeline('your prompt').images[0]
```
For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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